Science/Engineering Applied Data Mining for Business and Industry (0470058862)

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Applied Data Mining for Business and Industry

The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such data. This book provides an accessible introduction to data mining methods in a consistent and application oriented statistical framework, using case studies drawn from real industry projects and highlighting the use of data mining methods in a variety of business applications.

* Introduces data mining methods and applications.

* Covers classical and Bayesian multivariate statistical methodology as well as machine learning and computational data mining methods.

* Includes many recent developments such as association and sequence rules, graphical Markov models, lifetime value modelling, credit risk, operational risk and web mining.

* Features detailed case studies based on applied projects within industry.

* Incorporates discussion of data mining software, with case studies analysed using R.

* Is accessible to anyone with a basic knowledge of statistics or data analysis.

* Includes an extensive bibliography and pointers to further reading within the text.

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	Technical Applied Data Mining: Statistical Methods for Business and Industry (Statistics i Author: Paolo GiudiciPublisher: John Wiley &amp; SonsPublish Date: 17 October, 2003ISBN: 047084678X
	Business/Investing Applied Data Mining: Statistical Methods for Business and Industry Statistical Methods for Business and IndustryWiley \| 376 Pages \| 2003 \| ISBN: 0470846798 \| PDF \| 5,5 MBDownload links :Download \| Mirror 1 \| Mirror 2
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	Technical Applied Data Mining : Statistical Methods for Business and Industry Book DescriptionData mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns. The increasing availability of data in the current information society has led t ...

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